DeepSeek-V4-Flash
DeepSeek-V4-Flash er en open-weight 1M context AI-model, der scorer 54,4% på SWE-bench til $0,14 pr. 1M tokens, optimeret til agentic coding og reasoning.
deepseekDeepSeek V42026-07-31Om DeepSeek-V4-Flash
Lær om DeepSeek-V4-Flashs muligheder, funktioner og hvordan den kan hjælpe dig med at opnå bedre resultater.
DeepSeek-V4-Flash er en open-weight Mixture of Experts (MoE) sprogmodel designet til softwareudvikling og flertrins reasoning-opgaver. Den indeholder 284 milliarder samlede parametre med 13 milliarder aktive parametre pr. token under inference. Modellen benytter et indbygget context window på 1.048.576 tokens, hvilket gør det muligt for udviklere at behandle hele kodebaser eller lange tekniske dokumenter i en enkelt forespørgsel.
Opdateringen den 31. juli 2026 fastholder arkitekturen fra den oprindelige preview-model, samtidig med at den anvender post-training med fokus på agentic adfærd. Denne post-training forbedrede dens score på Terminal-Bench 2.1 fra 61,8 til 82,7 og øgede dens SWE-bench-resultat til 54,4%. Modellen understøtter variable reasoning effort-niveauer og indbygget responses API-integration til streaming af midlertidige kommentarer sideløbende med de endelige resultater.
Udviklere kan få adgang til modellen gennem DeepSeeks OpenAI-kompatible API eller køre open weights lokalt på hardwarekonfigurationer med 128GB til 192GB unified memory. Standard API-prissætningen er $0,14 pr. 1 million input tokens og $0,28 pr. 1 million output tokens, hvor cachede input falder til $0,03 pr. million tokens.
Anvendelser for DeepSeek-V4-Flash
Opdag de forskellige måder, du kan bruge DeepSeek-V4-Flash til at opnå gode resultater.
Autonom Agentic Coding
Kørsel af flertrins terminal- og filændringer ved hjælp af Codex CLI eller Cline-miljøer for at rette GitHub-issues og automatisere testgenerering.
Lokal AI-implementering
Hosting af hele modellen på arbejdsstationer udstyret med 128GB unified memory eller fire GPU'er ved hjælp af 4-bit kvantiseringer.
Storskala Repository Refactoring
Indlæsning af op til 1 million tokens codebase-kontekst for at kortlægge afhængigheder og udføre arkitektoniske opdateringer på tværs af flere moduler.
Interaktiv 3D- og Front-End Web-generering
Bygning af enkeltfilers webapplikationer, Three.js 3D-miljøer og komplekse SVG-diagrammer direkte fra prompt-specifikationer.
Højvolumen Databehandling
Behandling af omfattende tekstlogfiler og strukturerede dokumenter ved hjælp af context caching for at sænke API-omkostningerne til $0,03 pr. million tokens.
Flertrins Terminal-automatisering
Udførelse af shell-kommandoer og script-pipelines, hvor modellen bruger intern reasoning til at håndtere uventede kommandofejl.
Styrker
Begrænsninger
API hurtig start
deepseek/deepseek-v4-flash-0731
import OpenAI from 'openai';
const openai = new OpenAI({
baseURL: 'https://api.deepseek.com',
apiKey: process.env.DEEPSEEK_API_KEY,
});
async function main() {
const completion = await openai.chat.completions.create({
model: 'deepseek-v4-flash',
messages: [{ role: 'user', content: 'Write a TypeScript function to balance a binary search tree.' }],
temperature: 1.0,
top_p: 0.95,
});
console.log(completion.choices[0].message.content);
}
main();Installér SDK'et og begynd at foretage API-kald på få minutter.
Hvad folk siger om DeepSeek-V4-Flash
Se hvad fællesskabet mener om DeepSeek-V4-Flash
“DeepSeek V4 Flash 0731 er den ubestridte pris-ydelses-leder: ~158.000 forespørgsler/måned inden for $60-grænsen, intelligens 49,9 og agentic score 45,7.”
“Vi gør den opdaterede DeepSeek V4-Flash 0731 gratis i Cline. Dette er den første flash-model, vi har fundet, som performer på SOTA-niveau til autonom kodning.”
“'Reasoning effort'-indstillingen er genial. Jeg bruger lav til tests og max til selve logikken. Sparer så meget tid i daglige pipelines.”
“DeepSeek V4 Flash 0731 burde nok være topscorer lige nu, hvis du er til lokal AI.”
“Modeller, du kan køre lokalt nu, har intelligensscoren fra top frontier-modeller for 5 måneder siden. Det er helt vildt for open weights.”
“DeepSeek V4 Flash er ~150x billigere end proprietære alternativer, samtidig med at den leverer yderst konkurrencedygtig UX og designopgave-output.”
Videoer om DeepSeek-V4-Flash
Se vejledninger, anmeldelser og diskussioner om DeepSeek-V4-Flash
“On the SWE-bench, a respected measure of software engineering capability, the model's score jumped from 7.3 to 54.4.”
“DeepSeek V4 Flash is a Mixture of Experts model with 284 billion total parameters, but only 13 billion active parameters.”
“This active parameter size makes the model realistically feasible to run on local hobbyist hardware with 128GB of unified memory.”
“The post-training updates focus primarily on agentic workflows and automated command execution.”
“For the price point of 14 cents per million input tokens, the performance ratio is unmatched right now.”
“Having at least 384,000 tokens of context size set is recommended, with a maximum context window of 1 million for this model.”
“If you are doing agentic work, you would want to adjust your top P to 0.95 instead of 1.0.”
“It is very thinky and does a lot of double-checking, triple-checking, and quadruple-checking during reasoning.”
“DeepSeek V4 Flash 0731 should probably be the number one contender right now if you are into local AI.”
“Running the quantized version locally requires a minimum of 128GB to 138GB of VRAM or system memory.”
“The gains aren't coming from scaling up the model size, they're coming from post-training focused on improving agentic behavior.”
“On Terminal Bench 2.1, it scores an 82.7, which is an enormous jump from its previous 61.8 preview score.”
“It offers near Luna-level intelligence at roughly 60% lower cost per task, making it one of the best performance per dollar models.”
“The native responses API integration allows developers to process tool output streams without custom formatting.”
“It handles multi-file repository edits with remarkable accuracy given its lightweight active footprint.”
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Pro-tips til DeepSeek-V4-Flash
Eksperttips til at hjælpe dig med at få mest muligt ud af DeepSeek-V4-Flash og opnå bedre resultater.
Kalibrer Top-P til Agent Workflows
Sæt top_p til 0,95 og temperature til 1,0, når modellen implementeres i kodningsmiljøer for at forbedre stabiliteten ved tool execution.
Indstil minimumscontextstørrelse for Max Reasoning
Konfigurer en context buffer på mindst 384.000 tokens, når du bruger max reasoning effort for at sikre plads til dyb chain-of-thought-behandling.
Udnyt Context Caching
Strukturer gentagne systemprompts og codebase-kontekst, så de rammer API-cache-lag, hvilket reducerer inputomkostningerne fra $0,14 ned til $0,03 pr. million tokens.
Brug tidspunkter uden for myldretiden til batch-behandling
Planlæg store API-batch-job i perioder uden for myldretiden, da API-priserne fordobles i perioder med høj trafik.
Anmeldelser
Hvad vores brugere siger
Slut dig til tusindvis af tilfredse brugere, der har transformeret deres arbejdsgang
Jonathan Kogan
Co-Founder/CEO, rpatools.io
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I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
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CTO, AiChatSolutions
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Sarah Chen
Head of Growth, ScaleUp Labs
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Founder, DataDriven.io
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Marketing Director, GrowthMetrics
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Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
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David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
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